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Explore a wide range of free and certified Instructional design online courses. Find the best Instructional design training programs and enhance your skills today!
Examine global poverty through microeconomics, randomized evaluations, data analysis for social scientists, foundations of development policy, and political economy of economic development.
Evaluate the effectiveness of policies with data and evidence, covering microeconomic theory, randomized evaluations, data analysis for social scientists, energy economics, and applied economics.
MIT graduate course reading blockchain, smart contracts and encryption through economic theory—contract theory, mechanism design, monetary theory—to redesign financial infrastructure and its regulation.
A project-based engineering course built around a tested 10-step iterative design process, stakeholder research, and delivering compelling in-person presentations.
A faculty-facing toolkit for integrating climate justice content and instructional approaches into introductory undergraduate courses across disciplines.
Learn traditional boat design by carving wooden half-hull models, translating forms into lines plans, and comparing vessel designs with naval architecture methods.
Learn to design and optimize supply chain networks while connecting operational decisions to financial metrics, supplier strategies, planning systems, and stakeholder communication.
Explore scientific principles and technologies for comfortable indoor environments that reduce building energy use and climate impacts.
Learn ten practical rules for controlling graphic design layouts through functional typography, hierarchy, flow, legibility, grouping, and contrast.
Learn industry-standard user interface design processes, core design theories, and the psychology and human factors behind interfaces, through case studies of good and costly bad design.
Design and build a content-rich infographic in Adobe Illustrator: plan and sketch a layout, make bar, line and pie charts, maps, and apply type, color and grid.
Redesign an interface or product end to end: needfinding, brainstorming, paper and interactive prototypes, heuristic evaluation, in-person user testing, and A/B results analysis.
Build predictive models in Python: fit regressions, clean and analyze features in Jupyter notebooks, classify with KNN, logistic regression and SVMs, and implement gradient descent.
Generate design ideas, prototype them quickly, gather feedback from users and clients, and apply principles of visual design, perception, and cognition to build technologies people enjoy.
An overview of ethical and regulatory considerations in designing clinical trials involving human subjects, from randomization and blinding to Phase I studies.
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